Best AI Search Visibility Analysis Software in 2026: 9 Tools Compared

Profound is the deepest analysis tool in this list. It shows not only whether a brand was mentioned, but which pages AI systems cited, how often, and on which engines. Conversation demand data adds context, showing what users actually ask in a category, so a team can see whether it is missing whole question types, not just single prompts.

That depth suits enterprise analysts and content strategists who will act on it weekly. A small team may find the reports rich but heavy, and the custom pricing makes budgeting harder. For a brand treating AI search as a core channel, Profound sets the analysis standard others are judged against.

Peec AI turns raw AI answers into readable analysis. For each prompt, it reports whether your brand was mentioned, where it ranked in the answer, how sentiment reads, and how competitors fared on the same question. That competitor context is essential, since visibility only means something relative to who else AI systems recommend.

Regional analysis adds value for brands in several markets, where answers and competitors differ. Watch entry plan limits on prompts and engines, and confirm your key prompts fit before buying. For mid-market teams, Peec AI offers the best balance of analysis depth and report clarity.

Scrunch analysis focuses on sources and gaps. Its citation graph shows which domains and pages AI systems rely on in your category, which helps a team see whether its own content is a cited source or an outsider. Site readiness checks add a technical angle, flagging pages that AI crawlers may struggle to read or use.

Persona analysis shows how answers change for different buyer types, which is useful for brands with several audiences. The price reflects that scope, so Scrunch suits content teams ready to fix gaps, not teams that only want a monthly score. Pair its findings with a content calendar to turn analysis into published fixes.

Brandlight analysis centers on narrative: how AI systems frame your brand, which themes recur, and whether sentiment leans positive, neutral, or negative. For a large brand, that framing can matter more than a mention count, since a widely repeated wrong claim can shape buyer views. Enterprise reporting packages those findings for brand and communications teams.

Access is the barrier. Quote-only pricing and no free plan mean small teams cannot test Brandlight cheaply. It belongs on an enterprise shortlist alongside Profound, especially where reputation and messaging, not just traffic, are at stake.

AthenaHQ lets a team start analysis without a budget approval, thanks to its free tier. You can track a small prompt set, see mentions and competitors, and learn whether AI visibility data changes your content decisions. That low-risk start is valuable in a category where many tools require a sales call first.

Paid plans open larger prompt sets and deeper views, and the price rises with volume. Compare AthenaHQ analysis on your exact prompts with Peec AI and Otterly.AI before upgrading, since citation detail and engine coverage differ. For a first analysis project, AthenaHQ is a sensible, low-cost entry.

Goodie analysis is built around next steps. It reports visibility, citations, and competitor gaps, then turns those findings into a prioritized action list for content and site work. That structure helps teams that know they have an AI visibility gap but do not know where to start fixing it.

The entry price limits Goodie to teams with a real content budget. Actions are also suggestions, not guarantees, since AI systems may not cite a changed page even after a fix. Use Goodie as a work queue to test over weeks, and keep human review in place before publishing any AI-suggested content change.

Otterly.AI gives small teams real analysis at a budget price. Daily tracking shows mention and citation movement over time, and reports are simple enough for a solo marketer to read without analyst support. For a small brand, that trend view is often enough to guide content priorities.

Limits appear in prompt count and engine add-ons. The entry plan covers few prompts, and adding engines such as Google AI Mode costs more. Before choosing Otterly.AI, list your must-track prompts and engines and compare the full monthly cost with Peec AI. For a focused prompt set, Otterly.AI remains excellent value.

Semrush analysis appeals to teams that want AI data in context. Seeing AI mentions beside classic rankings, traffic, and content performance helps a team judge whether AI visibility tracks with real demand or diverges from it. Per-domain pricing is clear, and the toolkit covers the main AI systems.

Dedicated tools offer deeper citation graphs, sentiment detail, and prompt volumes. Semrush is the practical pick for a team already in its suite that wants solid AI analysis without a second contract. If AI analysis becomes your main reporting need, compare it with Profound or Scrunch on your prompts.

Ahrefs Brand Radar combines a market index with custom prompt analysis. The index shows how brands compare across AI platforms at a market level, while custom prompts let a team track its own buying questions. That pairing suits SEO teams that already use Ahrefs for links and content research.

Cost is the main caution, with no free plan and extra costs for larger custom prompt sets. Ahrefs fits teams inside its ecosystem that want AI analysis next to their existing SEO data. Teams outside Ahrefs should weigh total cost against Peec AI or Profound for the same prompt set.